AI/ML Engineer (Senior/Regular) – GenAI
You will join a central AI team developing modern Generative AI solutions for construction software products. The project focuses on building scalable, reusable AI capabilities, including LLM-based applications, RAG pipelines, AI agents, tool use, orchestration, and evaluation frameworks. You will work on both prototyping and production-grade AI systems, help establish engineering standards and best practices, and contribute to AI-native software development and automation. Project details: Work model: 100% remote Contract: B2B Rate: up to 120 PLN/h nett + VAT Start: ASAP Project model: Outsourcing Recruitment process: 2 stages – HR interview + technical interview with the Hiring Manager Engagement: Full-time
Daily tasks
- Design and develop production-grade GenAI solutions, including LLMs, RAG, AI agents, tool use, and orchestration.
- Build reusable AI capabilities and services that can be adopted across multiple products.
- Design and implement AI evaluation frameworks focused on quality, reliability, latency, cost, and grounding.
- Develop AI-native engineering practices, including Spec-Driven Development, AI-assisted development, and automated testing.
- Ensure AI solutions meet standards for security, observability, governance, reliability, and responsible AI use.
- Collaborate with Product, Engineering, and Business stakeholders, while supporting other engineers through technical guidance, code reviews, and knowledge sharing.
Requirements
5+ years of software engineering experience, including hands-on experience with production AI systems. Strong Python programming skills. Hands-on experience with Generative AI, LLMs, RAG, AI agents, tool/function calling, and orchestration. Practical experience with Azure and/or AWS cloud platforms. Experience designing and delivering end-to-end AI systems from APIs and data/retrieval layers to cloud infrastructure and production deployment. Experience with AI evaluation and testing, including quality, reliability, grounding, latency, and cost. Understanding of AI-assisted development, Spec-Driven Development, and modern AI developer tools. Strong software architecture skills and ability to design reusable, scalable AI solutions. English – minimum B2/C1.
Must have: Python, GenAI, LLM, RAG, AI Agents, Tool Calling, ML, Vector Databases, AWS/Azure
Nice to have: LangChain / LangGraph / LlamaIndex, MLOps